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| 1 | Changes in China’s lakes: climate and human impacts显示文摘Lakes have played a critical role in providing water and ecosystem services for people and other organisms in China for millennia.However,accelerating climate change and economic boom have resulted in unprecedented changes in these valuable lakes.Using Landsat images covering the entity of the country,we explored the changes in China’s lakes and the associated driving forces over the last 30 years(i.e.mid-1980 s to 2015).We discovered that China’s lakes have changed with divergent regional trends:in the sparsely populated Tibetan Plateau,lakes are abundant and the lake area has increased dramatically from 38596 to46831 km^2(i.e.increased by 8235 km^2,or 21.3%),whereas,in the densely populated northern and eastern regions,lakes are relatively scarce and the lake area has decreased from 36659 to 33657 km^2(i.e.decreased by 3002 km^2,or 8.2%).In particular,severe lake decreases occurred in the Mongolia-Xinjiang Plateau and the Eastern Plain(-2151 km^2).Statistical analyses indicated that climate was the most important factor controlling lake changes in the Tibetan Plateau,the Yun-Gui Plateau and the Northeast Plain.However,the strength of climatic control on lake changes was low in the Eastern Plain and the Mongolia-Xinjiang Plateau,where human activities,e.g.impoldering,irrigation and mining,have caused serious impacts on lakes.Further lake changes will exacerbate regional imbalances between lake resources and population distribution,and thus may increase the risk of water-resource crises in China. | Shengli Tao Jingyun Fang Suhui Ma Qiong Cai Xinyu Xiong Di Tian Xia Zhao Leqi Fang Heng Zhang Jiangling Zhu Shuqing Zhao | 2020 | National Science Review2020，7，1： | 14 |
| 2 | Patterns and determinants of wood physical and mechanical properties across major tree species in China显示文摘The physical and mechanical properties of wood affect the growth and development of trees, and also act as the main criteria when determining wood usage. Our understanding on patterns and controls of wood physical and mechanical properties could provide benefits for forestry management and bases for wood application and forest tree breeding. However, current studies on wood properties mainly focus on wood density and ignore other wood physical properties. In this study, we established a comprehensive database of wood physical properties across major tree species in China. Based on this database, we explored spatial patterns and driving factors of wood properties across major tree species in China. Our results showed that(i) compared with wood density, air-dried density, tangential shrinkage coefficient and resilience provide more accuracy and higher explanation power when used as the evaluation index of wood physical properties.(ii) Among life form, climatic and edaphic variables, life form is the dominant factor shaping spatial patterns of wood physical properties, climatic factors the next, and edaphic factors have the least effects, suggesting that the effects of climatic factors on spatial variations of wood properties are indirectly induced by their effects on species distribution. | ZHU JiangLing SHI Yue FANG LeQi LIU XingE JI ChengJun | 2015 | Science China(Life Sciences)2015，58，6： | 4 |
| 3 | Environmental heterogeneity regulates species-area relationships through the spatial distribution of species显示文摘Species-area relationships(SARs),also known as species-area curves,are fundamental scaling tools for biodiversity research.Sampling design and taxonomic groups affect the widely cited forms of species-area curves.However,the influence of sampling design and related environmental heterogeneity on SAR curves is rarely considered.Here,we investigated the SAR among different plant life forms(herbaceous plants,shrubs,and trees)in a 25.2-ha ForestGEO plot,the Wanglang Plot,in Sichuan,southwestern China,using a non-contiguous quadrat sampling method and power-law model.We compared the estimated parameters(the intercept c and the slope z)of the power-law models among different plant life forms,tested whether the SAR curve forms varied with sampling starting location,and assessed the effect of environmental heterogeneity accumulating with sampling area on curve variation.We found a wider range of variations in the SARs.The estimated c,z-values of power SAR were higher for the herbaceous plants than for the woody plants.A wider variation of SARs for the herbaceous plants than those for the woody plants.The selection of sampling starting location affected the SAR curve forms because of the roles of soil and topographic heterogeneity.We concluded that environmental heterogeneity regulates SAR curves sampled from different starting locations through spatial distribution of plant life forms.Thus,we recommend considering the design of sampling starting location when constructing SAR curves,especially in a heterogeneous habitat with unrandom distribution patterns of species. | Chenqi He Leqi Fang Xinyu Xiong Fan Fan Yangang Li Luoshu He Xiaoli Shen Sheng Li Chengjun Ji Jiangling Zhu | 2022 | Forest Ecosystems2022，9，3： | 0 |
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